Oct 2026· Journal of Modern Science· Vol 67, pp. 366-397· 26 references
Digital Transformation in Financial Services
Abstract
Objectives The article aims to identify and analyze key determinants of the growing importance of economic digitalization, e-banking, and cybersecurity. It also examines the relationships between ICT development, Industry 4.0, artificial intelligence, and the transformation of business models in enterprises and financial institutions. Material and methods The study employed critical literature analysis, comparative analysis of secondary data, and a systemic approach. Scientific publications, industry reports, and studies on digital transformation and cybersecurity were examined using an interdisciplinary perspective. Results The findings indicate that cloud technologies, mobile solutions, and AI systems are major drivers of digitalization and e-banking development. Accelerated digital transformation has strengthened e-commerce and electronic services while simultaneously increasing exposure to cyber threats and the need for advanced cybersecurity systems. Conclusions The growing role of digitalization and cybersecurity is structural and long-term in nature. The integration of technological innovations with comprehensive cyber risk management strategies is becoming essential for competitiveness, resilience, and sustainable development in the digital economy.
This paper investigates developing real-world perception for active agents, proposes Gibson Environment for this purpose, and showcases a set of perceptual tasks learned therein.
F. Xia, Amir Zamir, Zhi-Yang He et al.· 2018 IEEE/CVF Conference on...· 1,069 citations· ⚡112
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
An algorithm is proposed which leverages disentangled semantic factors to generate adversarial perturbation by altering controlled semantic attributes to fool the learner towards various "adversarial" targets.
Haonan Qiu, Chaowei Xiao, Lei Yang et al.· arXiv.org· 208 citations· ⚡17
This work proposes a HALO that directly maximizes the utility of generations instead of maximizing the log-likelihood of preferences, and suggests that the best loss depends on the inductive biases most appropriate for a given setting, an oft-overlooked consideration.
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...
Masoud Mohseni, Artur Scherer, K. Johnson et al.· arXiv.org· 121 citations· ⚡9